An explanatory policy analysis of legislative change permitting pharmacists in Alberta, Canada, to prescribe
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: This paper provides an explanatory policy analysis of the new legislation which permits pharmacist prescribing in Alberta, Canada: the Pharmacists Profession Regulations (2006) to the Health Professions Act (1999). Its purpose is to provide useful insights for pharmacy regulatory bodies in other jurisdictions internationally that are in a position to pursue similar opportunities. METHODS: A search for government and regulatory body documents related to Alberta healthcare system and pharmacist prescribing was performed. Correspondence was initiated with authors and regulators to clarify or obtain current data. KEY FINDINGS: Research to support policy change recommendations and communication among healthcare professionals, regulators and other stakeholders is essential for developing and implementing legislative change regarding health professionals' scopes of practice at a time when legislative change is possible. Stakeholder barriers to implementation need to be identified early to provide opportunity to address and resolve. CONCLUSIONS: Collaboration between healthcare professionals, regulators and other stakeholders is essential to developing a prescribing model that can be successfully implemented when there is the opportunity for legislative change related to health professionals' scope of practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it